scholarly article | Q13442814 |
P819 | ADS bibcode | 2014PNAS..111.5117C |
P356 | DOI | 10.1073/PNAS.1220873111 |
P932 | PMC publication ID | 3986136 |
P698 | PubMed publication ID | 24706821 |
P5875 | ResearchGate publication ID | 261409563 |
P894 | zbMATH Open document ID | 1359.62233 |
P50 | author | Claudio Luchinat | Q26251282 |
Leonardo Tenori | Q38642016 | ||
Stefano Cacciatore | Q55112353 | ||
P2860 | cites work | A Mathematical Theory of Communication | Q724029 |
Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests | Q22673963 | ||
Cluster analysis and display of genome-wide expression patterns | Q24644463 | ||
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Molecular classification of cancer: class discovery and class prediction by gene expression monitoring | Q27861072 | ||
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Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps. | Q30990030 | ||
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Mapping knowledge domains | Q31038076 | ||
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Clustering by passing messages between data points | Q31091773 | ||
Exploring the within- and between-class correlation distributions for tumor classification | Q33859180 | ||
Nonlinear dimensionality reduction by locally linear embedding | Q33928873 | ||
Tree preserving embedding | Q35346205 | ||
Evidence of different metabolic phenotypes in humans | Q36446294 | ||
A simple and exact Laplacian clustering of complex networking phenomena: application to gene expression profiles | Q36670351 | ||
GPU-FS-kNN: a software tool for fast and scalable kNN computation using GPUs. | Q41978682 | ||
A global geometric framework for nonlinear dimensionality reduction | Q47014659 | ||
Stochastic proximity embedding | Q47812951 | ||
What is principal component analysis? | Q51891406 | ||
A cluster separation measure | Q52777429 | ||
An optimal algorithm for approximate nearest neighbor searching fixed dimensions | Q55920348 | ||
Nearest neighbor pattern classification | Q56219830 | ||
The ATLAS3D project - I. A volume-limited sample of 260 nearby early-type galaxies: science goals and selection criteria | Q56531325 | ||
Metabolomic NMR Fingerprinting to Identify and Predict Survival of Patients with Metastatic Colorectal Cancer | Q57975678 | ||
The Isomap Algorithm and Topological Stability | Q77452374 | ||
P433 | issue | 14 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | data mining | Q172491 |
knowledge extraction | Q1582085 | ||
P6104 | maintained by WikiProject | WikiProject Mathematics | Q8487137 |
P304 | page(s) | 5117-5122 | |
P577 | publication date | 2014-03-24 | |
P1433 | published in | Proceedings of the National Academy of Sciences of the United States of America | Q1146531 |
P1476 | title | Knowledge discovery by accuracy maximization | |
P478 | volume | 111 |
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